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Clinical trial design data for electrocardiogram artificial intelligence-guided screening for low ejection fraction (EAGLE)

机译:用于低弹射分数的心电图人工智能引导筛选的临床试验设计数据(EAGLE)

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The article details the materials that will be used in a clinical trial - ECG AI-Guided Screening for Low Ejection Fraction (EAGLE): Rationale and design of a pragmatic cluster randomized trial [1]. It includes a clinician-facing action recommendation report that will translate an artificial intelligence algorithm to routine practice and an alert when a positive screening result is found. This report was developed using a user-centered approach via an iterative process with input from multiple physician groups. Such data can be reused and adapted to translate other artificial intelligence algorithms. This article also includes data collection forms we developed for the clinical trial aiming to evaluate the artificial intelligence algorithm. Such materials can be adapted for other clinical trials.
机译:本文详细说明了将用于临床试验 - ECG AI引导筛选的材料,用于低射血分数(鹰):理论和设计的务实簇随机试验[1]。它包括一个面向临床医生的行动推荐报告,将在发现正面筛选结果时将人工智能算法转换为例行实践和警报。本报告是使用用户居中的方法通过迭代过程开发,具有来自多个医生组的输入。可以重复使用此类数据并适于转换其他人工智能算法。本文还包括我们开发用于旨在评估人工智能算法的临床试验的数据收集表。这些材料可以适用于其他临床试验。

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